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AI assistant for Beaglebone using LLM
Introduction For this project, I have used llama.cpp as the local inference engine and TinyLlama-1.1B-Chat-v1.0 as the language model. llama.cpp is a lightweight C/C++ inference framework designed to run LLMs locally with minimal setup across CPUs and GPUs. It is well suited for embedded and edge-oriented workflows because it supports efficient local execution without depending on cloud APIs. The TinyLlama model used here is the chat-tuned 1.1B parameter variant published on

Anup Halarnkar
Mar 233 min read
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